Yefeng Yefeng0920

I am working as a Research Associate at UNSW, Sydney, with Shinichi on research synthesis projects (methodologies and applications).

Yefeng0920 / rcode_rma_mv_example.r

Created May 16, 2025 02:30 — forked from wviechtb/rcode_rma_mv_example.r

Model Selection using the glmulti and MuMIn Packages with a rma.mv() Model

	############################################################################

	library(metafor)
	library(ape)

	############################################################################

	# read the documentation for this dataset
	help(dat.moura2021)

Yefeng0920 / RVE-hierarchical.R

Created February 27, 2025 00:11 — forked from jepusto/RVE-hierarchical.R

Hierarchical effects example from Tanner-Smith & Tipton (2013)

	# robumeta calculations
	library(grid)
	library(robumeta)

	data(hierdat)

	HTJ <- robu(effectsize ~ males + binge,
	data = hierdat, modelweights = "HIER",
	studynum = studyid,
	var.eff.size = var, small = FALSE)

Yefeng0920 / metafor-sandwich.R

Created February 27, 2025 00:11 — forked from jepusto/metafor-sandwich.R

Calculate sandwich covariance estimators for multi-variate meta-analysis models

	require(Formula)
	require(metafor)
	require(sandwich)
	require(zoo)
	require(lmtest)

	#-----------------------------------------------
	# Functions for making sandwich standard errors
	#-----------------------------------------------

Yefeng0920 / RVE-correlated.R

Created February 27, 2025 00:10 — forked from jepusto/RVE-correlated.R

Correlated effects example from Tanner-Smith & Tipton (2013)

	# robumeta calculations
	library(grid)
	library(robumeta)
	data(corrdat)
	rho <- 0.8

	HTJ <- robu(effectsize ~ males + college + binge,
	data = corrdat,
	modelweights = "CORR", rho = rho,
	studynum = studyid,

Yefeng0920 / metafor-BRL.R

Created February 25, 2024 14:22 — forked from jepusto/metafor-BRL.R

Bias-reduced linearization covariance estimator and degrees of freedom for multi-variate meta-analysis models

	require(Formula)
	require(metafor)
	require(sandwich)
	require(zoo)
	require(lmtest)

	#-----------------------------------------------
	# Identify outer-most clustering variable
	#-----------------------------------------------